我正在嘗試在收集信號的全局峰值和谷值的地方實(shí)現(xiàn)峰值檢測，但是，當(dāng)我將其實(shí)現(xiàn)為一個簡單的信號時(shí)，該功能可以完美運(yùn)行，沒有錯誤。但是，當(dāng)我將代碼運(yùn)行到大量數(shù)據(jù)集（大約 9000 個樣本）中時(shí)，它一直給我這個錯誤：TypeError: only integer scalar arrays can be converted to a scalar index我的峰值檢測功能可以在下面找到：def custom_peakdetection_envelope(y_axis, peak_height, x_axis=None):    """    keyword arguments:    y_axis -- A list containing the signal over which to find peaks    x_axis -- (optional) A x-axis whose values correspond to the 'y_axis' list and is used in the return to specify the position of the peaks. If omitted the index of the y_axis is used. (default: None)    peak_height --  This specifies a minimum height of the peak        return -- two lists [maxtab, mintab] containing the positive and negative peaks respectively. Each cell of the lists contains a tuple of:    (position, peak_value) to get the average peak value do 'np.mean(maxtab, 0)[1]' on the results    """        global amplitude_envelope_y    global amplitude_envelope_x        maxtab = []    mintab = []    maxthresh = []    minthresh = []    ax = []    amplitude_envelope_mx = []    amplitude_envelope_mn = []    if x_axis is None:        x = arange(len(y_axis))    else:        x = asarray(x_axis)    y = asarray(y_axis)    ax.append((x,y))    if len(y) != len(x):        sys.exit('Input vectors y and x must have same length')    if not isscalar(peak_height):        sys.exit('Input argument peak_height must be a scalar')    # if peak_height <= 0:    #     sys.exit('Input argument peak_height must be positive')    # maxima and minima candidates are temporarily stored in mx and mn respectively:    mn, mx = np.Inf, -np.Inf    mnpos, mxpos = NaN, NaN